Shakudo

Use Case

Schedule Preventive Maintenance for Energy Infrastructure

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Trusted By Industry Leaders

AI-Optimized Preventive Maintenance: Enhancing Energy Infrastructure Reliability

Shakudo transforms energy infrastructure management by enabling AI-driven scheduling of preventive maintenance. This solution integrates advanced analytics with real-time operational data to optimize maintenance timing, predict potential failures, and extend equipment lifespan. By providing a scalable platform for deploying and managing these sophisticated AI tools, Shakudo empowers energy companies to significantly improve infrastructure reliability, reduce downtime, and optimize maintenance costs while ensuring regulatory compliance.

  • AI-driven risk assessment and prioritization of maintenance activities
  • Dynamic scheduling optimization considering weather, load forecasts, and resource availability
  • Comprehensive asset health monitoring with predictive failure analysis
  • Recommended Data & AI Stack

    Unplanned downtime in energy infrastructure can lead to significant financial losses and safety risks. This solution tackles this issue by enabling proactive maintenance scheduling, enhancing infrastructure reliability, and optimizing maintenance costs.

    The stack incorporates XGBoost for failure prediction, Apache Kafka for real-time sensor data streaming, Ray for complex simulations, Superset for intuitive dashboards, Neo4j for managing asset relationships, and Dagster for orchestrating maintenance workflows. This integrated approach allows energy companies to minimize operational risks and improve compliance.

    Manually integrating these technologies could take several months and require specialized expertise. Shakudo's platform reduces this to mere days, allowing energy companies to quickly implement advanced preventive maintenance strategies and reap the benefits of improved operational efficiency.

    Testimonials

    Driving Innovation Across Industries

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    | global real estate investment

    "We chose Shakudo over alternatives because it gave us the flexibility to use the data stack components that fit our needs knowing that we can evolve the stack to keep up with the industry. Deployment was a breeze compared to other Enterprise deployment cycles."

    Neal Gilmore

    Senior Vice President, Enterprise Data & Analytics
    @ QuadReal Property Group
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    | climate-based financial risk

    "With the help of the Shakudo platform, we were able to massively scale our production pipelines, while working collaboratively to meet our product goals."

    Andrew Wiebe

    Chief Science Officer @ RiskThinking.AI
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    | Digital Experience Intelligence

    "Almost overnight, Shakudo's product helped us move past many of those struggles so we could focus on solving business problems instead of scaling infrastructure."

    Adam Dille

    SVP of Product & Engineering @ Quantum Metric
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    | Energy payments platform

    "Not very often I find slam dunk products like Shakudo!"

    Mike Kirkup

    Chief Technology Officer @ EnPowered
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    | Basketball Team

    "In the last two months, we’ve been able to produce four applications that amount to $100,000 in terms of return on operation, so real efficiency gains."

    Ben Levicki

    AI Solutions Architect @ Cleveland Cavaliers